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Stanford's Merlin AI delivers consistent diagnoses across hospitals using 3D CT scans

Stanford researchers developed Merlin AI, a vision-language model that analyzes 3D abdominal CT scans with 81% accuracy in predicting diagnoses. Trained on over 15,000 scans and nearly one million diagnostic codes, the NIH-funded tool outperformed specialized models across 750 tasks and demonstrated consistent performance across multiple hospital sites, offering a potential solution to the growing radiologist shortage.